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Open-source 3B param model better than Mistral OCR
a year ago
- Nanonets-OCR-s is a state-of-the-art image-to-markdown OCR model with advanced features.
- Features include LaTeX equation recognition, intelligent image description, signature detection, watermark extraction, smart checkbox handling, and complex table extraction.
- Usage examples provided for transformers, vLLM, and docext.
- Includes a BibTex citation for academic reference.
- Model has 7,961 downloads last month.
Amazon is reportedly training humanoid robots to deliver packages
a year ago
- Amazon is developing AI software for humanoid robots to deliver packages.
- Robots will be transported in Rivian electric vans for real-world testing.
- Amazon is constructing a 'humanoid park' in San Francisco for training.
- The facility includes an obstacle course and a Rivian van for training.
- Amazon aims for robots to hitch rides and deliver packages autonomously.
- A new agentic AI team is working on flexible, multi-talented robot assistants.
- Amazon is testing Agility Robotics' 'Digit' and Unitree's $16,000 humanoid robot.
- Amazon acquired Zoox in 2020, indicating a push for full automation in deliveries.
Sincerity Wins the War
a year ago
- The author introduces a premium version of their newsletter, priced at $7/month or $70/year, while continuing to offer free content.
- Emphasizes the importance of sincerity and accountability in journalism, criticizing the lack of critical thinking in reporting.
- Critiques the media's uncritical coverage of Meta's partnership with Anduril and the metaverse, calling it a failed concept.
- Highlights the unreliability of AI models like Llama, questioning their suitability for military applications.
- Exposes the lack of evidence behind claims that AI will replace white-collar jobs, criticizing media for not verifying such statements.
- Calls out Kevin Roose and other journalists for promoting AI job replacement narratives without substantial proof.
- Criticizes the media's role in perpetuating corporate narratives, such as the return-to-office debate and inflation explanations.
- Advocates for sincerity in journalism, urging reporters to provide context and challenge powerful narratives.
- Discusses the flaws in generative AI's capabilities, arguing it's not transformative enough to replace human jobs at scale.
- Highlights the need for media to serve the public by reporting truthfully and critically, rather than echoing corporate interests.
NH jury acquits consultant behind AI robocalls mimicking Biden on all charges
a year ago
- Steven Kramer, a political consultant, was acquitted of voter suppression and impersonating a candidate charges related to AI-generated robocalls mimicking Joe Biden.
- The robocalls, sent to New Hampshire Democrats before the 2024 primary, used an AI-generated voice similar to Biden's and discouraged voting in the primary.
- Kramer testified that his intention was to highlight the dangers of AI in elections, paying a magician $150 to create the recording.
- Prosecutors argued the calls undermined the primary's integrity, while Kramer's defense claimed the primary was unsanctioned and the voter suppression law didn't apply.
- Jurors acquitted Kramer of all 22 charges, which could have resulted in decades in prison.
- Kramer also faces a $6 million FCC fine but refuses to pay; Lingo Telecom, which transmitted the calls, agreed to a $1 million settlement.
- The case highlights ongoing challenges in regulating AI in elections, with some states enacting laws while federal efforts remain uncertain.
Apple Retreats
a year ago
- Apple's WWDC opening video featured executives in an F1 movie parody, setting a surreal tone.
- Craig Federighi admitted Apple failed to deliver promised AI features from last year's WWDC.
- Apple's AI promises, particularly for Siri, remain unfulfilled, raising concerns about their AI capabilities.
- John Gruber criticized Apple for overpromising and underdelivering on AI features.
- Apple declined to participate in Gruber's live show for the first time since 2015, sparking speculation.
- Marco Arment suggested Apple is retreating to safety, avoiding unscripted interviews.
- WWDC's headline feature was Liquid Glass, a new unified design language across Apple's OS.
- Liquid Glass emphasizes Apple's hardware-software integration, a retreat to core strengths.
- Apple announced Continuity features enhancing device integration, like Live Activities on Mac.
- Apple introduced the Foundation Models framework, enabling on-device AI for third-party apps.
- Apple deepened its partnership with OpenAI, integrating ChatGPT into more services.
- Apple hinted at potential App Store changes, possibly separating games from other apps.
- The Ninth Circuit Court denied Apple's request to maintain anti-steering restrictions on apps.
- Apple's retreat to core competencies contrasts with its struggles in AI and cloud services.
- The article compares Apple's AI missteps to Microsoft's Windows 8 failure and subsequent recovery.
Blaze (YC S24) Is Hiring
a year ago
- Blaze is a YC-backed startup revolutionizing global payments with a cross-border payments app powered by USDC.
- The Junior Software Engineer role involves leveraging AI tools like Cursor to build and optimize the payment platform.
- Key responsibilities include using AI for feature development, debugging, and staying updated on AI advancements.
- Qualifications require experience with AI tools, JavaScript, React, and a passion for fintech and problem-solving.
- Benefits include competitive compensation, equity, mentorship, and a dynamic work environment in Mexico City.
- Applicants must submit a resume, portfolio, and cover letter highlighting their interest and relevant projects.
Think of a Number
a year ago
- Sam Altman's claims about AGI being imminent are criticized as irresponsible hype.
- Current AI can handle undergraduate mathematics but fails at PhD-level tasks, indicating no true AGI.
- The author proposes creating a secret database of hard number theory problems to test AI's mathematical understanding.
- Questions should require non-negative integer answers, be beyond undergraduate level, and not easily guessable or found online.
- The experiment aims to distinguish between AI's pattern-matching and genuine mathematical thinking.
- The author seeks collaboration from PhD-level number theorists to contribute challenging problems.
- AI companies will be invited to test their models against the database, with results made public.
- The project contrasts with FrontierMath by ensuring questions are not pre-exposed to AI models.
- Example questions would resemble those in FrontierMath but be harder and more uniformly difficult.
- The goal is to assess whether AI can truly think mathematically, beyond stochastic parroting.
The drawbridges come up: the dream of a interconnected context ecosystem is over
a year ago
- The AI era is mirroring the Web 2.0 story, with integrations becoming tightly governed.
- MCPs (Multi-Cloud Platforms) are seen as a future vision where LLMs (Large Language Models) are connected to all necessary data and apps.
- Web 2.0 initially promoted interconnected services and open APIs, but eventually, platforms restricted access to maintain control.
- Recent examples show platforms like Slack, X (formerly Twitter), and Google cutting off third-party access to their data and AI models.
- The dream of unfettered data exchange is fading as platforms prioritize control and competition over openness.
- MCPs will likely become a protocol rather than a movement, with tools tightly governed by platforms.
Extracting memorized pieces of books from open-weight language models
a year ago
- The study examines the extent to which open-weight language models (LLMs) memorize copyrighted books.
- Using probabilistic extraction techniques, researchers extracted parts of the Books3 dataset from 13 LLMs.
- Results show that memorization varies by model and book, with some models memorizing books like Harry Potter and 1984 almost entirely.
- Larger LLMs do not memorize most books, either in whole or in part.
- The findings have significant implications for copyright lawsuits, though they do not clearly favor either plaintiffs or defendants.
Why Claude Code feels like magic?
a year ago
- Steve Jobs compares computer operations to magic when executed at high speeds (1,000,000 per second).
- Claude Code's intelligence is described as iterative, with solutions found by exploring possible spaces using heuristics.
- LLMs (Large Language Models) benefit from heuristics to reduce search space and find solutions more efficiently.
- Claude Code enhances user experience by autonomously making multiple attempts, increasing perceived intelligence.
- The author shares a personal experience where Claude Code successfully updated project dependencies autonomously over 30-40 minutes.
- Potential for scaling Claude Code with parallel compute could drastically reduce task completion times (e.g., from 40 minutes to 1 minute).
- Reflection on the broader implications of automating tasks with current LLM capabilities.
Please add an option to block or disable "AI" · Issue #740 · codecov/feedback
a year ago
- Request to disable 'Codecov AI' feature permanently across all organizations.
- Concerns about potential misuse of code for AI training without consent.
- Desire for a clear, first-party toggle to opt out of AI features.
- Preference for AI features to be opt-in rather than opt-out.
- Skepticism about the value of AI in improving code coverage.
O3 Turns Pro
a year ago
- o3-pro offers significantly more compute for problem-solving but comes with a high subscription cost.
- Users report mixed experiences with o3-pro; some find it better than o3, while others see minimal improvements.
- The model is slow, often taking 15+ minutes to respond, which disrupts workflow for many users.
- o3-pro is noted for hallucinating less than o3, though benchmarks like Confabulations show no improvement.
- It excels in analytical tasks, creative writing, and structured thinking but is less effective for agentic coding.
- The high cost and slow speed make o3-pro impractical as a daily driver, but useful for specific, complex queries.
- OpenAI claims o3-pro outperforms o3 in expert evaluations, particularly in science, education, and coding.
- The model's conciseness is praised, providing bullet-point answers without unnecessary elaboration.
- A significant price drop for o3 makes it more accessible, impacting the AI market more than o3-pro's release.
- Concerns about OpenAI's lack of updated system cards for o3-pro highlight potential safety and transparency issues.
Mastodon updates its terms to prohibit AI model training
a year ago
- Social networks like Mastodon are updating terms of service to prohibit AI model training and data scraping.
- Mastodon's new terms explicitly ban scraping user data for LLM training, effective July 1.
- The updated terms include legal language against automated systems like scrapers and data mining tools.
- These rules currently apply only to Mastodon.social, leaving other fediverse servers potentially vulnerable to scraping.
- Other platforms, including OpenAI and Reddit, have also introduced similar anti-scraping clauses.
- Mastodon is raising its global age limit for users from 13 to 16 years.
Andrej Karpathy – Software 2.0
a year ago
- Neural networks represent a fundamental shift in software development, termed Software 2.0, differing from traditional Software 1.0 which relies on explicit human-written code.
- Software 2.0 is developed through optimization processes like training neural networks on large datasets, rather than direct human coding.
- Examples of industries transitioning to Software 2.0 include visual recognition, speech recognition, speech synthesis, machine translation, gaming, and databases.
- Benefits of Software 2.0 include computational homogeneity, ease of implementation in hardware, constant runtime and memory usage, high portability, agility, and the ability for modules to meld optimally.
- Limitations of Software 2.0 include difficulty in understanding how networks make decisions, potential for unintuitive failures, and susceptibility to biases in training data.
- The future of software development involves adapting tools and ecosystems for Software 2.0, including IDEs for dataset management, version control for datasets, and package managers for neural networks.
- Software 2.0 is expected to dominate in domains where evaluation is cheap and algorithm design is complex, paving the way for advancements towards AGI.
MiniMax-M1 open-weight, large-scale hybrid-attention reasoning model
a year ago
- MiniMax-M1 is the world's first open-weight, large-scale hybrid-attention reasoning model.
- It features a hybrid Mixture-of-Experts (MoE) architecture and lightning attention mechanism.
- Supports a context length of 1 million tokens, 8x that of DeepSeek R1.
- Consumes 25% of the FLOPs compared to DeepSeek R1 at 100K token generation.
- Trained using large-scale reinforcement learning on diverse tasks.
- Introduces CISPO, a novel algorithm for efficient RL scaling.
- Two versions available: MiniMax-M1-40K and MiniMax-M1-80K.
- Outperforms models like DeepSeek-R1 and Qwen3-235B on complex tasks.
- Benchmarked across mathematics, coding, software engineering, and more.
- Supports function calling and can be deployed using vLLM or Transformers.
Modular 25.4: One Container, AMD and Nvidia GPUs, No Lock-In
a year ago
- Modular Platform 25.4 introduces official support for AMD GPUs, including MI300X and MI325X, enabling seamless portability and performance.
- Performance gains include up to 53% better throughput on prefill-heavy BF16 workloads and up to 32% better throughput for decode-heavy BF16 workloads compared to vLLM on AMD MI300X.
- Expanded model support includes GGUF quantized Llamas, Qwen3, OLMo2, and Gemma3 models, enhancing the platform's versatility.
- Enhanced documentation and developer experience with a unified navigation system and new Python-Mojo bindings for easier integration.
- Open sourcing of over 450k lines of Mojo kernel and serving code, inviting community contributions to the MAX AI kernel library.
- Special events include the Modular Hack Weekend and the launch of the comic 'GPU Whisperers' to engage the developer community.
The Brute Squad
a year ago
- The article discusses the rapid evolution of coding practices, particularly the shift from traditional IDEs to agentic coding with autonomous agents like Claude Code, Codex, and Amp.
- Agentic coding is described as addictive, offering a mix of dopamine and adrenaline rewards, but also requiring careful supervision to avoid pitfalls.
- The author shares personal experiences, including meeting Dario Amodei, CEO of Anthropic, and discusses broader societal impacts of AI, predicting significant changes by 2026.
- The rise of 'vibe coding' is highlighted as a transformative trend in software development, with implications for productivity, team dynamics, and job roles.
- The article concludes with an optimistic view on the future of coding with AI, encouraging readers to embrace the change and learn to work with coding agents.
GeneralistAI – Research Preview of Dextrous Bimanual Robotic Manipulation
a year ago
- Generalist is developing general purpose robots using end-to-end AI models.
- Models are trained for dexterous sensorimotor policies across different robots and environments.
- Robots are controlled in real-time by neural networks processing sensor data at 100Hz.
- Tasks include fine motor control, spatial precision, and robustness to disturbances.
- Bi-manual coordination is used for complex actions like breaking apart Lego structures.
- High-frequency control enables behaviors like wiggling and adjusting in-flight grasps.
- Models generalize across different robot arms and new environments without prior data.
- Demonstrated tasks include sorting fasteners, folding boxes, and handling screws.
- Precision tasks like closing boxes require millimeter-level tolerances.
- The system shows potential for autonomous dexterity in real-world applications.
Show HN: I built an app to organize fragmented learning
a year ago
- Curio helps users retain knowledge from articles and videos by transforming passive consumption into active learning.
- Users can save content from various sources like YouTube and Medium with a single tap.
- AI extracts key insights, generates summaries, and creates interactive quizzes for better retention.
- Features include spaced repetition for long-term memory, tracing insights back to the source, and curating favorite takeaways.
- The app also offers a community feature for sharing and discovering new ideas.
- Privacy practices include data collection linked to user identity, such as identifiers and usage data.
- Compatible with iOS 16.0 or later and visionOS 1.0 or later, rated 9+ for age appropriateness.
Six-month-old, solo-owned vibe coder Base44 sells to Wix for $80M cash
a year ago
- Israeli developer Maor Shlomo sold his 6-month-old startup Base44 to Wix for $80 million.
- Base44, a vibe-coding startup, grew to 250,000 users in six months and was profitable, generating $189,000 in profit in May.
- The company was bootstrapped and spread through word of mouth, with Shlomo sharing his journey on LinkedIn and Twitter.
- Base44 allows non-programmers to build software using text prompts, supporting features like databases, authentication, and analytics.
- Shlomo cited the need for scale as a reason for selling, despite the company's organic growth and profitability.
- Wix acquired Base44 to expand its no-code offerings, adding a profitable LLM-based product to its portfolio.

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#ai

Open-source 3B param model better than Mistral OCR

Amazon is reportedly training humanoid robots to deliver packages

Sincerity Wins the War

NH jury acquits consultant behind AI robocalls mimicking Biden on all charges

Apple Retreats

Blaze (YC S24) Is Hiring

Think of a Number

The drawbridges come up: the dream of a interconnected context ecosystem is over

Extracting memorized pieces of books from open-weight language models

Why Claude Code feels like magic?

Please add an option to block or disable "AI" · Issue #740 · codecov/feedback

O3 Turns Pro

Mastodon updates its terms to prohibit AI model training

Andrej Karpathy – Software 2.0

MiniMax-M1 open-weight, large-scale hybrid-attention reasoning model

Modular 25.4: One Container, AMD and Nvidia GPUs, No Lock-In

The Brute Squad

GeneralistAI – Research Preview of Dextrous Bimanual Robotic Manipulation

Show HN: I built an app to organize fragmented learning

Six-month-old, solo-owned vibe coder Base44 sells to Wix for $80M cash